User
Write something
🔒 Q&A w/ Nate is happening in 6 hours
Pinned
🚀New Video: Building Realistic Voice Agents Has Never Been Easier
Voice agents used to mean clicking through ElevenLabs dashboards and wiring up API endpoints by hand. In this one I built a working voice agent for a website that captures leads and books discovery calls through cal.com, all by describing it in plain English to Claude Code. You'll see the full build, the bugs I hit along the way, and how I debugged them without ever touching the docs.
Pinned
🚀New Video: I Tried 100+ Claude Code Skills. These 6 Are The Best.
After 400 hours in Claude Code, I noticed that businesses keep paying for the same six types of skills. In this video, I break down each one, what it does, and why these simple, boring skills are the ones that actually sell. Whether you're brand new to AI automations or already building for clients, these are the skills worth learning first.
Pinned
🏆 Community Wins Recap | Apr 25 – May 1
From AI roles and first clients to live receptionist systems and enterprise training deals - this week inside AIS+ showed what happens when builders stop watching and start executing. 🚀 Standout Wins of the Week inside AIS+ 👉 @Griffin Maklansky went from being laid off to landing an AI Workflow Builder role in just 1 month. 👉 @Ahmed Bin Faisal landed another $2,000 USD client — an interior design firm — and broke down exactly what led to the close 👉 @Narsis Amin built a working AI restaurant receptionist handling bookings, availability, and CRM logging end-to-end. 👉 @Josh Holladay closed a $4.5K (+$1K) client with half up front today — and dropped his top 10 lessons from the close 👉 @Dion Wang received his first official testimonial, validating real client impact and around 40 hours/month saved. 🎥 Super Win Spotlight | @Duy Nguyen Duy started as an engineer who was curious about AI — but unsure how to turn that curiosity into something real. After joining AIS+, he went from learning passively to building his own AI-operated business, Sharper Automations. Since then, he has: • Built a 24-agent AI business operating system • Landed 2 local paying clients through word-of-mouth • Created a system that improves itself weekly through feedback loops • Started moving toward his goal of leaving his corporate job His biggest shift? From “Can I really do this?” → to building a real business around AI automation.
🏆 Community Wins Recap | Apr 25 – May 1
Intelligence transfer
A Rabbit Trail of Excellence How a 19-Agent Governance System Emerged from Curiosity, Trust, and Pattern Recognition Recently, while recording a Loom walkthrough, I caught myself describing the last several months of AI work as: “A rabbit trail of excellence.” The phrase surfaced naturally — unedited. It wasn’t a roadmap. It wasn’t an architecture decision. It was the most honest description of what this journey has actually felt like. A sequence of bright signals. Each compelling enough to follow deeper than originally intended. And somehow, that trail led to a 19-agent governance system sitting on my desk. The Path to Multi-Agent Governance The journey started with a signal from NVIDIA. Watching the emergence of Nano Omni, developer blueprints, and production-ready model containers made something click for me: AI substrate is no longer a frontier. It’s infrastructure. The same way electricity became infrastructure around 1925, AI is becoming foundational infrastructure now — whether industries recognize it yet or not. In many B2C sales environments and trade industries, that realization still hasn’t landed. The second signal came from Garry Tan and the open-source ecosystem surrounding projects like G-Brain, G-Stack, security harnessing, and OpenClaw. I subscribe to the developer threads and watch the cadence closely. Much of what I’m building sits on top of those architectural concepts — not despite them. It’s a reminder that none of us are building in isolation. We’re standing on the shoulders of giants. The third signal was Qdrant. While many engineers treated memory as secondary infrastructure, Qdrant treated memory as foundational. That distinction mattered to me immediately. I dove into their documentation, certifications, developer programs, and research. Their language resonated with how I naturally think about continuity, recall, and contextual intelligence. That alignment is rare. Synthesis and System Design Following those signals eventually led somewhere unexpected:
Intelligence transfer
1-30 of 16,329
AI Automation Society
skool.com/ai-automation-society
Learn to get paid for AI solutions, regardless of your background.
Leaderboard (30-day)
Powered by